Extension of Pacific summer waters in the Arctic Ocean based on field and model data
Bibliographic record
Abstract
During the last few decades we observe fast climatic changes. These changes are well expressed in the Polar Region that is more sensitive to all environmental shifts. The temperature and salinity anomalies were observed not only on the surface but also in the Pacific origin halocline layer. Due to hydrostatic imbalance and atmospheric circulation, water from the North Pacific flows through the Bering Strait, transits the upper levels of the Arctic Ocean, and penetrates to the North Atlantic. Pacific Summer Water (PSW) (flows through the Bering Strait in summer) is a main freshwater source in the Canadian Basin and influences thermohaline structure of the whole Arctic Ocean. Based on the field oceanographic data obtained during 1991-2014 we found the high interannual variability of PSW extent and maximum temperatures of PSW core. Since 1991 the area of PSW distribution decreased and the boundary of PSW extension shifted from the Makarov Basin towards the Canada Basin. At the end of the 2000s the PSW boundary extension returned to approximately early 1990s conditions. Rapid changes in the Arctic wind forcing regime occurred in 2007 led to anomaly extension of the PSW boundary towards the Lomonosov Ridge in 2008. For study the distribution of PSW under the conditions of a lack of field data, we used the modeling data of the GLORYS12V1 product of Copernicus Marine Environment Monitoring Service (http://marine.copernicus.eu/). The model component is the NEMO platform driven at the surface by ECMWF ERA-Interim reanalysis. Based on the calculated data we revealed the maximum temperatures and extension of PSW core in the Arctic Ocean from 1993 to 2018. As a result of comparing of field and calculated data, we found a good correspondence the values of maximum temperatures and the position of the PSW core in the centre of the Canada Basin. For example, in 2011 observed (1.0 °С) and calculated (0.9 °С) maximum temperature of PSW were very close. Based on model data we calculated the heat content of PSW which reached maximum values in recent years. The research was supported by the Ministry of Science and Higher Education of the Russian Federation (project RFMEFI61619X0108).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".